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- 1、algorithm的解释及algorithm的例句
- 2、计算机的算法是什么？你了解吗？
1、algorithm的解释及algorithm的例句
algorithm的解释算法algorithm的例句2、计算机的算法是什么？你了解吗？
英语科技类阅读系列第9篇 — 算法
Text: 961 words
Category: computing
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Explainer: What is an algorithm? 讲解员: 什么是算法?
Computers and others use these step-by-step rules to answer questions and process data.
计算机和其他设备使用这些循序渐进的规则来回答问题和处理数据
Back in the 9th century, a famous mathematician and astronomer made a lot of discoveries in science, math and the number system that we now use. His name was Muhammad ibn Mūsa al-Khwarizmī. His last name is Persian for the area of his birth: Khwãrezm. Over the centuries, as his fame grew, people outside the Middle East altered his name to Algoritmi. This version of his name would later be adapted as the English term that describes the step-by-step recipes we now known as algorithms.
早在9世纪，一位著名的数学家和天文学家在科学、数学和我们现在使用的数字系统方面做出了很多发现。他的名字叫穆罕默德-伊本-穆萨-赫瓦里兹米。他的姓是波斯语，表示他出生的地区: 赫瓦里兹米。几个世纪以来，随着他的名气越来越大，中东以外的人把他的名字改为阿尔戈里特米。他的这个名字后来被改编为英语术语，描述我们现在所知的算法，就如一步一步做饭的食谱。
An algorithm is a precise step-by-step series of rules that leads to a product or to the solution to a problem. alt="algorithm的解释及algorithm的例句，algorithm函数（计算机的算法是什么）" src="https://p3.toutiaoimg.com/pgc-image/62e728a794d84728834db53aab6f76bf~tplv-tt-large.image" />
Awash in algorithms 沉浸在算法里
Algorithms are everywhere in computers. The most well-known example might be a search engine, such as Google. To find the closest veterinarian that treats snakes or the fastest route to school, you might type the relevant question into Google and then review its list of possible solutions.
算法在计算机中无处不在。最著名的例子可能是搜索引擎，例如谷歌。为了找到最近的治疗蛇的兽医或去学校的最快路线，你可以把相关的问题输入谷歌，然后查看可能的解决方案列表。
Mathematicians and computer scientists designed the algorithms that Google uses. They realized that searching the whole internet for the words in every question would take too long. One shortcut: Count the links between webpages, then give extra credit to pages with lots of links to and from other pages. Pages with more links to and from other pages will rank higher in the list of possible solutions that emerge from the search request.
数学家和计算机科学家设计了谷歌使用的算法。他们意识到在整个互联网上搜索每个问题的单词会花费太多时间。一个快捷方法是:计算网页之间的链接，然后给那些与其他网页有大量链接的页面额外加分。与其他页面有更多链接的页面将在搜索请求中出现的可能解决方案列表中排名更高。
Many computer algorithms seek new data as they work through a solution to some problem. A map app on a smartphone, for example, contains algorithms designed to find the fastest route or perhaps the shortest one. Some algorithms will connect to other databases to identify new construction zones (to avoid) or even recent accidents (which can tie up traffic). The app also may help drivers follow a chosen route.
许多计算机算法在解决某些问题时寻找新的数据。例如，智能手机上的一款地图应用程序包含了旨在找到最快或最短路线的算法。一些算法将连接到其他数据库，以识别新的建筑区域(以避免)，甚至是最近的事故(可能会堵塞交通)。该应用程序还可以帮助司机遵循选定的路线。
Algorithms can become complex as they gather lots of data from different sources to reach one or more solutions. The steps in most algorithms must follow a set order. Those steps are called dependencies.
算法可能会变得复杂，因为它们从不同的来源收集大量的数据，以达到一个或多个解决方案。大多数算法的步骤都必须遵循一定的顺序。这些步骤称为依赖项。
One example is an if/then statement. You acted like a computer algorithm when you decided how to spend your afternoon. One step was to consider the weather. IF the weather is sunny and warm, THEN you (might) choose to go outside.
举个例子就是“如果…那么…”的陈述。当你决定如何度过你的下午时，你行为上就像一个计算机算法。第一步是考虑天气。如果天气晴朗温暖，那么你可能会选择外出。
Algorithms sometimes also glean data on how people have used their computers. They may track what stories or websites people have read. Those data are used to offer these people new stories. This can be helpful if they want to see more stuff from the same source or about the same topic. Such algorithms can be harmful, however, if they prevent or in some way discourage people from seeing new or different types of information.
算法有时也会收集人们如何使用电脑的数据。他们可能会追踪人们读过的故事或网站。这些数据被用来为这些人提供新的故事。如果他们想看到更多来自同一来源或关于同一主题的内容，这是很有帮助的。然而，如果这些算法阻止或以某种方式阻止人们看到新的或不同类型的信息，那么它们可能是有害的。
We use computer algorithms for so many things. New or improved ones emerge every day. For instance, specialized ones help explain how diseases spread. Some help predict the weather. Others choose investments in the stock market.
我们在很多事情上都使用计算机算法。每天都会出现新的或改进过的算法。例如，专门的算法有助于解释疾病是如何传播的。一些算法帮助预测天气。其他人则选择股票市场投资。
The future will include algorithms that teach computers how to better understand more complex data. This is the beginning of what people call machine learning: computers teaching computers.
未来将包括教计算机如何更好地理解更复杂的数据的算法。这就是人们所说的机器学习的开始:计算机教计算机。
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